Computational Biology (BS)
2016-2017 UNDERGRADUATE STUDIES CATALOG
Effective 1 June 2016 through 31 May 2017
Please see the Undergraduate Catalog Archives for PDF versions of past catalogs.
This program offered by College of Arts & Sciences/Biological Sciences Department
The bachelor of science in computational biology is a rigorous degree designed for students who seek cross-disciplinary education in biology, math, and computer science. The program provides the student with a broad scientific foundation suitable immediately upon graduation for careers in biological information analysis in fields like: bioinformatics, the biotechnology industry, medicine, research in computational biology or bioinformatics, healthcare, or the chemical and molecular disciplines.
Upon completion of the computational biology program, students will be able to:
- Describe and explain the core principles of biology, chemistry, and information systems,
as they relate to the living world.
- Quantify matter, energy, and molecules of living organisms and describe their roles in life processes.
- Describe the central dogma of biological information storage, transmission, and expression in living organisms.
- Explain processes underlying population diversity and evolution.
- Analyze the origin and rationale of large datasets and determine which molecular processes of living organisms are informed by such data.
- Integrate the core principles of biology, chemistry, and information systems to critique a scientific work in writings and/or presentations.
- Locate, access, assess and manipulate large biological datasets in a responsible manner,
and identify the ethical ramifications of the data interpretation.
- Identify what biological processes different types of large datasets inform, and describe the advantages and limitations of the data types.
- Be able to locate, access, format and manipulate large datasets for computational analyses.
- Maintain a high level of honesty and integrity in all scientific work by accurately reporting original data, methods, and results for all experiments done.
- Give proper credit and references when using the work of other researchers.
- Demonstrate the ability to apply relevant analyses to biological datasets, evaluate
significance, and integrate the results with core principles.
- Use computers as a tool for doing research, gathering data, analyzing data, and presenting results.
- Apply the scientific method to experimental design and data interpretation; design and implement proper controls for computational analysis and statistical evaluation.
- Research and relate information taken from multiple sources in the scientific literature to the use of large datasets.
- Design and execute a research plan, interpret the results, and communicate the scientific
information in a responsible manner, to grow as a global citizen.
- Use a dataset that informs a specific process in the life sciences or biological information systems to formulate hypotheses and predictions.
- Curate data responsibly; format data and perform computational analyses.
- Interpret results using probability and statistics to make conclusions. Predict if/how the interpretation might impact individuals and/or populations globally, and recognize potential global ethical issues. Present oral project summary and/or written report documentation of project.
A minimum of 128 credit hours consisting of the following:
- 80 required credit hours
- 3 international language requirement credit hours
- Applicable University Global Citizenship Program hours
Core Courses (45 hours)
- BIOL 1550, 1551 Essentials of Biology I (5 hours)
- BIOL 1560, 1561 Essentials of Biology II (5 hours)
- BIOL 2010 Evolution (3 hours)
- BIOL 3050, 3051 Genetics (4 hours)
- BIOL 4400 Research Methods (3 hours)
- BIOL 4430 BS Senior Thesis (4 hours)
- CHEM 1100, 1101 General Chemistry I (4 hours)
- CHEM 1110, 1111 General Chemistry II (4 hours)
- CHEM 2100, 2101 Organic Chemistry I (4 hours)
- CHEM 3100, 3101 Biochemistry I (4 hours)
- MATH 1610 Calculus I (5 hours)
Biology Courses (11 hours)
- BIOL 1580 Introduction to Computational Biology (1 hour)
- BIOL 3600 Synthetic Biology - BioBlocks (3 hours)
- BIOL 4050 Gene Expression (3 hours)
- BIOL 4800 Computational Biology (4 hours)
Math and Computer Science Courses (21 hours)
- COSC 1550 Computer Programming I (3 hours)
- COSC 1560 Computer Programming II (3 hours)
- COSC 1570 Math for Computer Science (3 hours)
- COSC 2810 Systems Analysis and Design (3 hours)
- COSC 4110 Database Concepts (3 hours)
- STAT 3100 Inferential Statistics (3 hours)
- MATH 3610 Probability (3 hours)
One of the following courses:
- MATH 3210, Data Mining Foundations (3 hours)
- MATH 3220, Data Mining Methods (3 hours)
Students who are interested in applying to this degree program should see the Admission Section of this catalog for general requirements.